Role Description We build agentic AI products that our customers interact with across different modalities. These agents sit on top of the same money-movement platform that handles real funds for businesses in regulated industries, so they have to be safe, compliant, and predictable in ways most consumer AI products are not. We're looking for a Staff Engineer to own the architecture and implementation of these agents end-to-end. This is a builder role for someone who has shipped agents to production at scale, not just used them. You will define how we build agents at PayNearMe: the frameworks, the integration patterns with our existing systems, the guardrails around money and PII, and the testing/eval/observability loop that lets us improve agents safely over time. Our core platform stack is Ruby on Rails with MySQL (monolith) plus Go microservices on AWS/Kubernetes, with Datadog for observability. Our agents interact with consumers and business partners across a wide variety of use cases. What you'll do - Define and build the agent platform used across applications at PayNearMe. - Own the architectural direction for agentic AI at PayNearMe in partnership with other engineering leaders. - Produce and maintain architecture documentation (current state, target state, migration plan). - Design, build, and ship production agents—including voice and chat agents for a wide range of payment-related activities. - Make and defend the "what kind of intelligence goes where" decisions. - Design and operate the agent lifecycle as a closed loop: testing, offline evals, online evals, observability, scoring, and feedback paths. - Own the unit economics of agent interactions. - Build the guardrails that make agents safe in a payments context. - Treat voice as its own modality, not a text agent with a microphone. - Partner with Security, Compliance, and Legal to ensure agent behavior meets regulations. - Raise the bar across the org for agent engineering. - Partner with the Engineering Managers, Product, and other Staff peers to shape the roadmap. Qualifications - 8+ years of software engineering experience, with Staff-level scope. - Demonstrated experience shipping agentic AI systems to production. - Hands-on experience with at least one modern agent framework (LangGraph, or comparable). - Deep, lived experience with the full agent lifecycle. - Strong system design fundamentals. - Comfortable working in a Ruby on Rails / MySQL environment. - Clear communication and strong judgment in high-stakes environments. - Ability to move between high-level architecture and hands-on coding. Requirements - Experience shipping voice agents specifically. - Hands-on experience building and shipping voice-enabled applications. - Experience designing agents that combine multiple styles of intelligence. - Payments/fintech experience, or other regulated/high-integrity domains. - Experience building and operating evaluation infrastructure. - Experience designing agent platforms with multi-tenant configuration. - Experience adversarially testing LLM-based systems. - Experience optimizing the unit economics of LLM-based products. - Experience with observability for non-deterministic systems. - Experience integrating AI capabilities into a Ruby on Rails monolith. Benefits - Competitive salary and benefits with growth-company options grant. - Fast-paced and professional work culture. - Stock options with standard startup vesting - 1 year cliff; 4 years total. - $50 monthly communication expense stipend. - $250 stipend to enhance your WFH setup. - Reimbursement for peripheral equipment. - Premium medical benefits including vision and dental (100% coverage for employees). - Company-sponsored life and disability insurance. - Paid parental bonding leave. - Paid sick leave, jury duty, bereavement. - 401k plan. - Flexible Time Off (typically ~3-4 weeks per year). - Volunteer Time Off. - 13 scheduled holidays.

Role Description We are seeking a Senior Backend Developer with strong expertise in Go and Google Cloud Platform to build and scale backend services that power live event management, media processing, asset distribution, and hybrid edge-caching solutions. This role focuses on designing high-performance microservices, distributed systems, and cloud-native applications that support mission-critical media workflows. The ideal candidate has deep backend engineering experience, strong cloud infrastructure knowledge, and excellent English communication skills for collaboration within a distributed team operating in the Central Time zone. - Design, develop, and maintain production-grade Go microservices using gRPC, Protocol Buffers, grpc-gateway, and REST APIs. - Build backend services supporting live event lifecycle management, media ingestion, media inspection, asset export, and distribution workflows. - Enhance and maintain hybrid media caching architectures integrating on-premise systems with Google Cloud Storage. - Own features end-to-end, from API design and protobuf schemas to deployment, monitoring, and operational support. - Develop event-driven solutions using Pub/Sub, Cloud Tasks, Cloud Functions, and Cloud Workflows. - Integrate services with Google Cloud media products such as Live Stream API, Transcoder API, Video Intelligence, and Vision AI. - Create and maintain unit, integration, load, and end-to-end tests to ensure platform reliability and performance. - Improve observability, monitoring, scalability, and overall system reliability. - Collaborate with DevOps teams on Kubernetes deployments, Helm charts, Terraform infrastructure, Istio configurations, and GKE rollouts. - Participate in architecture discussions, code reviews, technical design reviews, and on-call support rotations. Qualifications - 5+ years of professional backend development experience. - 3+ years of hands-on experience building production applications in Go. - Strong knowledge of Go concurrency patterns, context management, error handling, graceful shutdown, and service reliability. - Experience designing APIs using gRPC, Protocol Buffers, grpc-gateway, and RESTful services. - Experience working with Google Cloud Platform services, including: - GKE - Cloud Functions - Cloud Workflows - Pub/Sub - Cloud Tasks - Cloud Scheduler - Cloud Storage - Cloud SQL - Secret Manager - IAM and Service Accounts - Experience deploying and operating applications in Kubernetes environments. - Strong knowledge of Helm, Terraform, containerized deployments, and infrastructure as code. - Working knowledge of Istio service mesh concepts, including traffic routing, authorization policies, and mTLS. - Strong SQL skills with MySQL and/or PostgreSQL, including schema design, indexing, migrations, and query optimization. - Experience with Redis, Memorystore, or similar caching technologies. - Experience with CI/CD pipelines using GitHub Actions, Cloud Build, or equivalent tools. - Strong testing experience including unit, integration, end-to-end, and load testing. - Experience with testing frameworks and tools such as Testify, GoMock, SQLMock, k6, Locust, or similar. - Experience with observability and monitoring tools such as OpenTelemetry, Prometheus, Grafana, Cloud Trace, distributed tracing, and structured logging. - Ability to troubleshoot performance issues and maintain services aligned with SLOs and reliability targets. Preferred Qualifications - Experience with Google AIP API design standards. - Experience in live video streaming, media processing, content delivery, or media workflow platforms. - Experience building large-scale distributed systems and event-driven architectures. - Familiarity with hybrid cloud or edge-caching solutions. Additional Requirements - Advanced to excellent English communication skills. - Availability to work within Central Time business hours. - Strong problem-solving skills and ability to work independently in a remote environment. Benefits - Paid holidays (based on client calendar) - 15 business days of vacation - Health allowance - Annual learning budget - Company-provided computer Company Description Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.

Role Description Für unseren Kunden suchen wir einen Java/ Spring Boot Developer (w/m/d) mit Erfahrung mit Spark, Flink, Kubernetes, Docker und Kafka. - Erstellung von sauberem, effizientem Code auf Grundlage von Spezifikationen und Richtlinien. - Entwicklung von Programmen und Systemen in Java. - Reparatur und Verbesserung bestehender Software für das zugewiesene Projekt. - Analyse und Bearbeitung definierter Incident-Fälle innerhalb des vereinbarten Leistungsumfangs. - Technische Abstimmung über definierte Schnittstellen mit benannten Ansprechpartnern. - Entwicklung intuitiver Software, die die Bedürfnisse des Unternehmens erfüllt und übertrifft. - Analyse und Test produktiver Programme und Produkte vor dem Release. - Gewährleistung der Softwaresicherheit durch die Entwicklung von Programmen zur aktiven Überwachung des Austauschs privater Informationen. - Durchführung definierter Migrations- und Übergangsleistungen zur Überführung der Software. - Erbringung definierter Betriebs- und Wartungsleistungen der Software auf Kubernetes Infrastruktur (DevOps). - Analyse und Behebung komplexer technischer Fehler entsprechend definierter Eskalationsfälle (3rd Level). - Verbesserung der bestehenden Betriebsprozess durch ergänzen und ausbauen des bestehenden Monitorings sowie von Deployment pipelines in Azure DevOps Umgebungen. - Ggf, Realisierung von Anforderungen im Front-End. Qualifications - 8+ Kenntnisse in der Java-Entwicklung und den umliegenden Technologien. - 8+ Kenntnisse in Spring Boot oder ähnlichem (Quarkus, JakartaEE). - 6+ Erfahrung mit Docker und Kubernetes. - 6+ Erfahrung mit Kafka und/oder Kafka Streams. - Erfahrung mit SPARK, Flink. - Erforderliche Sprachen: Deutsch und Englisch fließend (beide C1). Requirements - Sehr gute Kenntnisse in der Java-Entwicklung und den umliegenden Technologien. - Konzeptionelle Kenntnisse in den Bereichen Software Design Patterns, Continuous Integration und Security. - Breites technisches Wissen, um die technologische Landschaft von Auftraggebern voranzubringen. - Gewohnt in der Arbeit mit großen Datenmengen und Erfahrung mit Datenbanken (sowohl relational als auch nicht-relational). - Fließende Kenntnisse in anderen Programmiersprachen sind von Vorteil. - OpenShift und/oder ähnliche Cloud-Technologien (Azure) sind von Vorteil. - Kenntnisse über Stromnetze und -netze sowie Energiemärkte helfen, das Hauptgeschäft zu verstehen. - Erfahrung mit Windows und Linux.

Role Description Avalara is an AI-first company. Every engineer is expected to apply AI to improve speed, quality, automation, customer outcomes, and operational scale. AI is embedded into how we build products, operate services, and deliver customer value. Success at Avalara requires using AI as a core engineering capability — not an optional tool. As a Software Development Engineer, Backend on the Returns team, you will help modernize and scale Avalara’s Returns-as-a-Service (RaaS) ingestion platform that powers tax return preparation, filing workflows, and emerging AI-driven Returns experiences. This role exists to accelerate Avalara’s ability to ingest, validate, normalize, and operationalize increasingly complex tax data at scale while improving reliability, automation, and customer trust. You will: - Design and deliver scalable backend systems, APIs, ingestion pipelines, and operational tooling that improve filing accuracy, reduce operational friction, and enable faster onboarding of new data sources and filing capabilities. - Partner across engineering, product, operations, and platform teams to build systems that support Avalara’s long-term AI-first Returns strategy. - Elevate Avalara by improving platform scalability, operational efficiency, and customer outcomes while helping establish engineering and AI practices that raise the performance of the broader organization. - Demonstrate Bar Raiser behaviors through strong ownership, engineering rigor, customer focus, and continuous improvement of systems, processes, and team capability. You will report to the Director of Engineering, Returns-as-a-Service Framework. This is a remote opportunity. This role is not eligible for visa sponsorship. Qualifications - B.S. in Computer Science or Engineering. - 5+ years of relevant experience designing, building, and operating production-grade backend systems and distributed platforms. - Experience building scalable APIs, ingestion pipelines, data processing systems, and cloud-native services in modern engineering environments. - Strong experience with C#/.NET and modern software engineering practices including CI/CD, automated testing, secure development, and reliability engineering. - Experience operating workloads in AWS, including networking, IAM, observability, security, and cloud operational best practices. - Demonstrated ability to improve operational excellence through monitoring, troubleshooting, automation, scalability, and defect reduction initiatives. - Hands-on experience applying AI-assisted development tools and workflows to improve engineering speed, quality, automation, or operational effectiveness. - Experience integrating with or leveraging generative AI technologies such as OpenAI, Bedrock, Vertex, or Hugging Face, including practical understanding of prompt design, token optimization, rate limits, and retrieval-based patterns. - Strong ownership mindset with the ability to simplify complex systems, drive measurable outcomes, and improve the performance of teams and platforms over time. - Ability to demonstrate applied AI impact through measurable examples tied to engineering efficiency, automation, customer experience, quality improvement, or operational scale. Requirements - Demonstrated track record of using AI to drive measurable improvements in engineering productivity, software quality, operational efficiency, customer outcomes, or platform scalability. - Hands-on experience leveraging AI-assisted development tools and workflows across coding, testing, debugging, documentation, code review, operational analysis, and automation. - Experience integrating with or leveraging generative AI technologies such as OpenAI, Bedrock, Vertex, or Hugging Face, including practical understanding of prompt engineering, token optimization, rate limiting, evaluation approaches, and retrieval-augmented generation (RAG) patterns. - Ability to identify and implement AI-driven opportunities that reduce manual effort, accelerate delivery, improve data quality, strengthen operational intelligence, or enhance customer experiences. - Demonstrated judgment in applying AI responsibly, including awareness of data privacy, security, governance, reliability, and accuracy considerations in production systems. - Ability to quantify AI impact through measurable business or engineering outcomes such as reduced operational costs, faster issue resolution, improved development velocity, increased automation coverage, or higher platform reliability. - Proven ability to elevate the AI capabilities of peers and teams through mentorship, knowledge sharing, experimentation, and establishment of scalable AI engineering best practices. - Strong ownership mindset with the ability to simplify complex systems, drive measurable business outcomes, and consistently raise engineering standards across teams and platforms. - Demonstrated Bar Raiser behaviors through high accountability, strong technical judgment, continuous improvement, and a track record of leaving systems, processes, and teams stronger than they were found. Benefits - Total Rewards: In addition to a great compensation package, paid time off, and paid parental leave, many Avalara employees are eligible for bonuses. - Health & Wellness: Benefits vary by location but generally include private medical, life, and disability insurance. - Inclusive culture and diversity: Avalara strongly supports diversity, equity, and inclusion, and is committed to integrating them into our business practices and our organizational culture.